In this tutorial we will teach a board to recognise gestures! We'll capture motion data from the Arduino Nano 33 BLE Sense board, import it into TensorFlow to train a model, and deploy a classifier onto the board using TensorFlow Lite for microcontrollers.
- Introduction
- Exercise 1: Development Environment
- Exercise 2: Source Code
- Exercise 3: Hardware
- Exercise 4: Visualizing the IMU Data
- Exercise 5: Gather the Training Data
- Exercise 6: Machine Learning
- Exercise 7: Classifying IMU Data
- Exercise 8: Emojis
- Exercise 9: Gesture Controlled USB Emoji Keyboard
- Exercise 10: Next Steps